ASIC Methodology, Flow and Integration Engineer

NVIDIA Corporation; Bengaluru; Hybrid; INR 1,500,000 - 2,700,000; Full time

Benefits offered by this job

Comprehensive benefits package

Hybrid work model

Job summary

NVIDIA is seeking an ASIC Flow and Integration Engineer to drive design methodology, automation, and integration for its High Speed IO team in Bengaluru, India. The role requires owning the full-chip and block-level integration, stitching RTL units, and evolving methodologies for scalable, high-quality designs.

You will build automation pipelines using Python and Perl, develop modular systems adaptable to various SoC/GPU architectures, and collaborate with RTL, verification, physical design, and

Qualifications

• BS or B.Tech or MS or MTech in EE/ECE/CS or equivalent degree with 1+ year or more experience in design integration and methodologies for ASIC design.
• Comprehensive understanding of IP development flows, build flows is a must.
• Excellent influencing skills for cross-cultural, multi geography and matrixed teams.

Responsibilities

• Own the full-chip and block-level integration process across multiple NVIDIA SoC and GPU projects.
• Stitch together RTL units and ensure seamless connectivity and hierarchy management.
• Define and evolve internal design methodologies to improve scalability, quality, and turnaround time.
• Build automation pipelines using Python/Perl to streamline integration, debug, and delivery.
• Develop modular and reusable systems that can be delivered across different SoC and GPU architectures.
• Collaborate with RTL, verification, physical design, and architecture teams to ensure flow compatibility and design readiness.
• Drive full-chip debug efforts, connectivity, and functional issues across hierarchies and tech nodes.
• Mentor engineers on flow usage and integration practices.

Skills

RTL integration

Python scripting

Debugging

Cross-team collaboration

Education

B.Tech / B.E. / M.Tech in EE/ECE/CS

Tools

Python

Perl

IP development flows

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation that is fueled by great technology- and amazing people. Today, we are tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what is never been done before takes vision, innovation, and the world s best talent. As an NVIDIAN, you will be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are now looking for ASIC Flow and Integration Engineer to drive design methodology, automation, and integration for our High Speed IO team.

What you will be doing:

• Own the full-chip and block-level integration process across multiple NVIDIA SoC and GPU projects.
• Stitch together RTL units and ensure seamless connectivity, and hierarchy management.
• Define and evolve internal design methodologies to improve scalability, quality, and turnaround time.
• Build automation pipelines using Python/Perl to streamline integration, debug, and delivery.
• Develop modular and reusable systems that can be easily delivered and adapted across different SoC and GPU architectures.
• Collaborate extensively with RTL, verification, physical design, and architecture teams to ensure flow compatibility and design readiness.
• Drive full-chip debug efforts, connectivity, and functional issues across multiple hierarchies and technology nodes.
• Contribute to continuous improvement of internal standards and mentor engineers on flow usage and integration practices.

What we need to see:

• BS or B.Tech or MS or M.tech in EE, ECE, CS, or equivalent degree with 1+ year or more experience in design integration and methodologies for ASIC design.
• Comprehensive understanding of IP development flows, build flows is a must
• Excellent influencing skills resulting in collaboration with cross-cultural, multi geography and matrixed teams
• Good debugging, analytical and problem solving skills
• Great interpersonal skills and ability to work as an excellent teammate
• Working exposure with AI tools like Claude and Cursor would be a plus

We have some of the most brilliant and talented people in the world working for us. If you re creative and independent, with a genuine real passion for technology and improving the state of art, we want to hear from you! Widely considered to be one of the technology world s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

#LI-Hybrid